SUMMARY ISDS361A FINAL EXAM CHEAT SHEET
2026/2027 || INFORMATION SYSTEMS & DATA ANALYTICS
REVIEW || VERIFIED KEY CONCEPTS || HIGH-YIELD STUDY
GUIDE || COMPLETE EXAM PREP || GRADED A+
In order to initially observe the relationship between the two variables we can
use a - CORRECT ANSWER -scatter plot
In regression analysis, the expression y = β(0) + β(1) + ε is called the -
CORRECT ANSWER -regression model
In regression analysis, the variable that is being predicted is - CORRECT
ANSWER -called the dependent variable
In the regression model, β(0) and β(1) are called the - CORRECT
ANSWER -parameters of the model
Regression analysis is a statistical procedure for developing a mathematical
equation that describes how - CORRECT ANSWER -one dependent
variable and one or more independent variables are related
b(0) is - CORRECT ANSWER -both a and b
(a) the estimates for β0
(b) the y intercept of the estimated regression equation
b(1) is - CORRECT ANSWER -the slope of the estimated regression
equation
The differences between the data points and the estimated regression line are
called the - CORRECT ANSWER -residuals
,The equation y(hat) = b(0) + b(1)x is called the - CORRECT ANSWER -
estimated regression equation
The method used to find the estimated linear regression equation is called -
CORRECT ANSWER -least squares method
If the coefficient of determination is 0.9, the percentage of variation in the
dependent variable explained by the variation in the independent variable is -
CORRECT ANSWER -90%
Larger values of R^2 imply that the observations are more closely grouped
about the - CORRECT ANSWER -least squares line
The coefficient of determination R^2 - CORRECT ANSWER -all of the
above
a. measures the goodness of fit of the estimated regression equation
b. takes on values between 0 and 1
c. is interpreted as the percentage of variability in the dependent variable that is
explained by the model
To test for a significant regression relationship, we can conduct a hypothesis
test to determine whether: - CORRECT ANSWER -a. β(1) is not zero
A confidence interval is an interval estimate of the - CORRECT ANSWER
-mean value of y for a given value of x
A prediction interval is an interval estimate of the - CORRECT ANSWER -
individual value of y for a given value of x
, Narrower prediction and confidence intervals - CORRECT ANSWER -
provide a higher degree of precision
Point estimators and predictors do not provide any information about the
precision associated with the estimate and/or prediction. For that we need to
develop - CORRECT ANSWER -confidence intervals and prediction
intervals
The prediction intervals are usually - CORRECT ANSWER -wider than the
confidence intervals
The next 7 questions are based on this information: In a completely randomized
design, seven experimental units were used for each of the three levels of the
factor. Below is the partially completed ANOVA table.
Source of Variation DF Sum of Squares Mean Square F P-value
Treatments300ErrorTotal460 - CORRECT ANSWER -
What is the null hypothesis? - CORRECT ANSWER -μ1=μ2=μ3
The degrees of freedom for the treatments is - CORRECT ANSWER -2
The degrees of freedom for the error is - CORRECT ANSWER -18
What is the value of MSTR? - CORRECT ANSWER -150
What is the value of the F-statistic (to 3 decimals)? - CORRECT ANSWER
-16.875
2026/2027 || INFORMATION SYSTEMS & DATA ANALYTICS
REVIEW || VERIFIED KEY CONCEPTS || HIGH-YIELD STUDY
GUIDE || COMPLETE EXAM PREP || GRADED A+
In order to initially observe the relationship between the two variables we can
use a - CORRECT ANSWER -scatter plot
In regression analysis, the expression y = β(0) + β(1) + ε is called the -
CORRECT ANSWER -regression model
In regression analysis, the variable that is being predicted is - CORRECT
ANSWER -called the dependent variable
In the regression model, β(0) and β(1) are called the - CORRECT
ANSWER -parameters of the model
Regression analysis is a statistical procedure for developing a mathematical
equation that describes how - CORRECT ANSWER -one dependent
variable and one or more independent variables are related
b(0) is - CORRECT ANSWER -both a and b
(a) the estimates for β0
(b) the y intercept of the estimated regression equation
b(1) is - CORRECT ANSWER -the slope of the estimated regression
equation
The differences between the data points and the estimated regression line are
called the - CORRECT ANSWER -residuals
,The equation y(hat) = b(0) + b(1)x is called the - CORRECT ANSWER -
estimated regression equation
The method used to find the estimated linear regression equation is called -
CORRECT ANSWER -least squares method
If the coefficient of determination is 0.9, the percentage of variation in the
dependent variable explained by the variation in the independent variable is -
CORRECT ANSWER -90%
Larger values of R^2 imply that the observations are more closely grouped
about the - CORRECT ANSWER -least squares line
The coefficient of determination R^2 - CORRECT ANSWER -all of the
above
a. measures the goodness of fit of the estimated regression equation
b. takes on values between 0 and 1
c. is interpreted as the percentage of variability in the dependent variable that is
explained by the model
To test for a significant regression relationship, we can conduct a hypothesis
test to determine whether: - CORRECT ANSWER -a. β(1) is not zero
A confidence interval is an interval estimate of the - CORRECT ANSWER
-mean value of y for a given value of x
A prediction interval is an interval estimate of the - CORRECT ANSWER -
individual value of y for a given value of x
, Narrower prediction and confidence intervals - CORRECT ANSWER -
provide a higher degree of precision
Point estimators and predictors do not provide any information about the
precision associated with the estimate and/or prediction. For that we need to
develop - CORRECT ANSWER -confidence intervals and prediction
intervals
The prediction intervals are usually - CORRECT ANSWER -wider than the
confidence intervals
The next 7 questions are based on this information: In a completely randomized
design, seven experimental units were used for each of the three levels of the
factor. Below is the partially completed ANOVA table.
Source of Variation DF Sum of Squares Mean Square F P-value
Treatments300ErrorTotal460 - CORRECT ANSWER -
What is the null hypothesis? - CORRECT ANSWER -μ1=μ2=μ3
The degrees of freedom for the treatments is - CORRECT ANSWER -2
The degrees of freedom for the error is - CORRECT ANSWER -18
What is the value of MSTR? - CORRECT ANSWER -150
What is the value of the F-statistic (to 3 decimals)? - CORRECT ANSWER
-16.875
